Potential of on‐scalp MEG: Robust detection of human visual gamma‐band responses
Electrophysiological signals recorded intracranially show rich frequency content spanning from near‐DC to hundreds of hertz. Noninvasive electromagnetic signals measured with electroencephalography (EEG) or magnetoencephalography (MEG) typically contain less signal power in high frequencies than inv...
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description | Electrophysiological signals recorded intracranially show rich frequency content spanning from near‐DC to hundreds of hertz. Noninvasive electromagnetic signals measured with electroencephalography (EEG) or magnetoencephalography (MEG) typically contain less signal power in high frequencies than invasive recordings. Particularly, noninvasive detection of gamma‐band activity (>30 Hz) is challenging since coherently active source areas are small at such frequencies and the available imaging methods have limited spatial resolution. Compared to EEG and conventional SQUID‐based MEG, on‐scalp MEG should provide substantially improved spatial resolution, making it an attractive method for detecting gamma‐band activity. Using an on‐scalp array comprised of eight optically pumped magnetometers (OPMs) and a conventional whole‐head SQUID array, we measured responses to a dynamic visual stimulus known to elicit strong gamma‐band responses. OPMs had substantially higher signal power than SQUIDs, and had a slightly larger relative gamma‐power increase over the baseline. With only eight OPMs, we could obtain gamma‐activity source estimates comparable to those of SQUIDs at the group level. Our results show the feasibility of OPMs to measure gamma‐band activity. To further facilitate the noninvasive detection of gamma‐band activity, the on‐scalp OPM arrays should be optimized with respect to sensor noise, the number of sensors and intersensor spacing. |
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Noninvasive electromagnetic signals measured with electroencephalography (EEG) or magnetoencephalography (MEG) typically contain less signal power in high frequencies than invasive recordings. Particularly, noninvasive detection of gamma‐band activity (>30 Hz) is challenging since coherently active source areas are small at such frequencies and the available imaging methods have limited spatial resolution. Compared to EEG and conventional SQUID‐based MEG, on‐scalp MEG should provide substantially improved spatial resolution, making it an attractive method for detecting gamma‐band activity. Using an on‐scalp array comprised of eight optically pumped magnetometers (OPMs) and a conventional whole‐head SQUID array, we measured responses to a dynamic visual stimulus known to elicit strong gamma‐band responses. OPMs had substantially higher signal power than SQUIDs, and had a slightly larger relative gamma‐power increase over the baseline. With only eight OPMs, we could obtain gamma‐activity source estimates comparable to those of SQUIDs at the group level. Our results show the feasibility of OPMs to measure gamma‐band activity. 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Noninvasive electromagnetic signals measured with electroencephalography (EEG) or magnetoencephalography (MEG) typically contain less signal power in high frequencies than invasive recordings. Particularly, noninvasive detection of gamma‐band activity (>30 Hz) is challenging since coherently active source areas are small at such frequencies and the available imaging methods have limited spatial resolution. Compared to EEG and conventional SQUID‐based MEG, on‐scalp MEG should provide substantially improved spatial resolution, making it an attractive method for detecting gamma‐band activity. Using an on‐scalp array comprised of eight optically pumped magnetometers (OPMs) and a conventional whole‐head SQUID array, we measured responses to a dynamic visual stimulus known to elicit strong gamma‐band responses. OPMs had substantially higher signal power than SQUIDs, and had a slightly larger relative gamma‐power increase over the baseline. With only eight OPMs, we could obtain gamma‐activity source estimates comparable to those of SQUIDs at the group level. Our results show the feasibility of OPMs to measure gamma‐band activity. To further facilitate the noninvasive detection of gamma‐band activity, the on‐scalp OPM arrays should be optimized with respect to sensor noise, the number of sensors and intersensor spacing.</description><subject>Adult</subject><subject>Cerebral Cortex - diagnostic imaging</subject><subject>Cerebral Cortex - physiology</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>gamma band</subject><subject>Gamma Rhythm - physiology</subject><subject>Human behavior</subject><subject>Humans</subject><subject>Magnetoencephalography</subject><subject>Magnetoencephalography - instrumentation</subject><subject>Magnetoencephalography - methods</subject><subject>Magnetometers</subject><subject>Male</subject><subject>Neuroimaging - instrumentation</subject><subject>Neuroimaging - methods</subject><subject>optically pumped magnetometer</subject><subject>Sensor arrays</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Superconducting quantum interference devices</subject><subject>Visual Perception - physiology</subject><subject>Visual signals</subject><subject>Visual stimuli</subject><subject>visual system</subject><subject>Young Adult</subject><issn>1065-9471</issn><issn>1097-0193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><recordid>eNp1kc1KxDAQx4Mo7vpx8AWk4EUP1Xw0TeNBUPELXBTRc0jTqdulTdamVbz5CD6jT2LWVVHB0wzMb37M8Edog-BdgjHdG-fNLk2E5AtoSLAUMSaSLc76lMcyEWSAVryfYEwIx2QZDRjhgjCCh-j22nVgu0rXkSsjZ99eXr3R9TQanZztRzcu730XFdCB6SpnZ8y4b7SNHivfh5173TQ67OTaFlELfuqsB7-Glkpde1j_rKvo7vTk9vg8vrw6uzg-vIwNx5LH3KSQcDCp4AVOIAWRZ0WSmRJMwcqMa1YmGaZ5blKaUZrrkupCU4pZabQ0KVtFB3PvtM8bKEx4pNW1mrZVo9tn5XSlfk9sNVb37lEJmgrJRBBsfwpa99CD71RTeQN1rS243itKpRRpllAZ0K0_6MT1rQ3vKcoo5VLKjAdqZ06Z1nnfQvl9DMFqlpUKWamPrAK7-fP6b_IrnADszYGnqobn_03q_Gg0V74Dla6g7A</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Iivanainen, Joonas</creator><creator>Zetter, Rasmus</creator><creator>Parkkonen, Lauri</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QR</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5331-2521</orcidid><orcidid>https://orcid.org/0000-0001-6034-4604</orcidid><orcidid>https://orcid.org/0000-0002-0130-0801</orcidid></search><sort><creationdate>202001</creationdate><title>Potential of on‐scalp MEG: Robust detection of human visual gamma‐band responses</title><author>Iivanainen, Joonas ; Zetter, Rasmus ; Parkkonen, Lauri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5095-5c6e45ec675d04e6e7b8d48cfecd3f85a3f4802bbc62822baf2ada2203fca9c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Cerebral Cortex - diagnostic imaging</topic><topic>Cerebral Cortex - physiology</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>gamma band</topic><topic>Gamma Rhythm - physiology</topic><topic>Human behavior</topic><topic>Humans</topic><topic>Magnetoencephalography</topic><topic>Magnetoencephalography - instrumentation</topic><topic>Magnetoencephalography - methods</topic><topic>Magnetometers</topic><topic>Male</topic><topic>Neuroimaging - instrumentation</topic><topic>Neuroimaging - methods</topic><topic>optically pumped magnetometer</topic><topic>Sensor arrays</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Superconducting quantum interference devices</topic><topic>Visual Perception - physiology</topic><topic>Visual signals</topic><topic>Visual stimuli</topic><topic>visual system</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Iivanainen, Joonas</creatorcontrib><creatorcontrib>Zetter, Rasmus</creatorcontrib><creatorcontrib>Parkkonen, Lauri</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human brain mapping</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Iivanainen, Joonas</au><au>Zetter, Rasmus</au><au>Parkkonen, Lauri</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Potential of on‐scalp MEG: Robust detection of human visual gamma‐band responses</atitle><jtitle>Human brain mapping</jtitle><addtitle>Hum Brain Mapp</addtitle><date>2020-01</date><risdate>2020</risdate><volume>41</volume><issue>1</issue><spage>150</spage><epage>161</epage><pages>150-161</pages><issn>1065-9471</issn><eissn>1097-0193</eissn><abstract>Electrophysiological signals recorded intracranially show rich frequency content spanning from near‐DC to hundreds of hertz. Noninvasive electromagnetic signals measured with electroencephalography (EEG) or magnetoencephalography (MEG) typically contain less signal power in high frequencies than invasive recordings. Particularly, noninvasive detection of gamma‐band activity (>30 Hz) is challenging since coherently active source areas are small at such frequencies and the available imaging methods have limited spatial resolution. Compared to EEG and conventional SQUID‐based MEG, on‐scalp MEG should provide substantially improved spatial resolution, making it an attractive method for detecting gamma‐band activity. Using an on‐scalp array comprised of eight optically pumped magnetometers (OPMs) and a conventional whole‐head SQUID array, we measured responses to a dynamic visual stimulus known to elicit strong gamma‐band responses. OPMs had substantially higher signal power than SQUIDs, and had a slightly larger relative gamma‐power increase over the baseline. With only eight OPMs, we could obtain gamma‐activity source estimates comparable to those of SQUIDs at the group level. Our results show the feasibility of OPMs to measure gamma‐band activity. To further facilitate the noninvasive detection of gamma‐band activity, the on‐scalp OPM arrays should be optimized with respect to sensor noise, the number of sensors and intersensor spacing.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>31571310</pmid><doi>10.1002/hbm.24795</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-5331-2521</orcidid><orcidid>https://orcid.org/0000-0001-6034-4604</orcidid><orcidid>https://orcid.org/0000-0002-0130-0801</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Cerebral Cortex - diagnostic imaging Cerebral Cortex - physiology EEG Electroencephalography Feasibility Studies Female gamma band Gamma Rhythm - physiology Human behavior Humans Magnetoencephalography Magnetoencephalography - instrumentation Magnetoencephalography - methods Magnetometers Male Neuroimaging - instrumentation Neuroimaging - methods optically pumped magnetometer Sensor arrays Spatial discrimination Spatial resolution Superconducting quantum interference devices Visual Perception - physiology Visual signals Visual stimuli visual system Young Adult |
title | Potential of on‐scalp MEG: Robust detection of human visual gamma‐band responses |
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